🤖AI Summary
Small AI models are emerging as a potential solution for private AI applications while fully homomorphic encryption remains years away from frontier-scale deployment. The threshold for what constitutes 'good enough' privacy-preserving AI has been lowered, making smaller models more viable for practical use cases.
Key Takeaways
- →Fully homomorphic encryption is still years away from being viable at frontier AI model scale.
- →Small AI models are becoming a practical alternative for privacy-preserving AI applications.
- →The performance bar for acceptable private AI solutions has been lowered.
- →This development could accelerate adoption of privacy-focused AI solutions in the near term.
- →The gap between current privacy technology and practical AI needs is narrowing.
Read Original →via Bankless
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